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Biostatistics Using Jmp Practical by Bihl Trevor (18 results)
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US$ 19.35
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Add to basketSoftcover. Condition: Très bon. Edition 2017. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Edition 2017. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Biostatistics Using Jmp: A Practical Guide (Paperback or Softback)
Published by SAS Institute 10/3/2017, 2017
ISBN 10: 162960383X ISBN 13: 9781629603834
Language: English
Paperback or Softback. Condition: New. Biostatistics Using Jmp: A Practical Guide 1.35. Book.
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Biostatistics Using JMP®:: A Practical Guide
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Biostatistics Using Jmp : A Practical Guide
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Biostatistics Using Jmp : A Practical Guide
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Biostatistics Using Jmp : A Practical Guide
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Biostatistics Using JMP A Practical Guide
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Biostatistics Using JMP: A Practical Guide
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Analyze your biostatistics data with JMP!Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data.The first biostatistical book to focus on software, Biostatistics Using JMP discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis.Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, Biostatistics Using JMP provides a practical approach to using JMP to solve your biostatistical problems.
